The LangChain Cookbook - Beginner Guide To 7 Essential Concepts
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- Опубліковано 6 тра 2024
- Twitter: / gregkamradt
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Cookbook Part 2: • The LangChain Cookbook...
Wild Belle - Keep You: open.spotify.com/track/1eREJI...
LangChain Cookbook: github.com/gkamradt/langchain...
LangChain Conceptual Docs: docs.langchain.com/docs/categ...
Python Docs: python.langchain.com/en/latest/
JS/TS Docs: js.langchain.com/docs/
0:00 - Introduction
1:12 - Conceptual Docs
1:54 - Cookbook introduction
2:27 - What is LangChain?
5:10 - Schema (Text, Messages, Documents)
8:54 - Models (Language, Chat, Embeddings)
12:03 - Prompts (Template, Examples, Output Parse)
20:45 - Indexes (Loaders, Splitters, Retrievers, Vectorstores)
26:39 - Memory (Chat History)
28:12 - Chains (Simple, Summarize)
32:52 - Agents (Toolkits, Agents)
Music by lofigenerator.com / CC BY
Where has this channel been all this while? This is gold. Thanks for the great video!
BRAVO! Clear, concise, and to the point. Thank you.
Awesome explanation. So clear! I loved that you just went step by step through the notebook.
This is exactly i wanted. Short tutorial which covers all important features of Langchain
This should be a college lecture for all CS students since 2023.
Wow that is an awesome compliment thank you
Okay beta
there won't be a need for a CS degree by 2025...
even in the data science field...
Huh? What's college?
@@greendsnowvery true I didn’t get a degree and I’m working in the CS field. Not easy though
amazing playlist...watching it completely for sure
Thank you so much for the video. It was really very helpful. You explained the concepts very well. 🙏
This is a great presentation. You have a great way of teaching.
Amazing job explaining the core concepts, this video + the cook book are THE fast references to understand more and memorize less and practice and develop even more. Thanks a million sir
Greg, thanks for another great video. I've come back to this one a few times to clear my head :)
Big thanks for publishing such great content.
This video was a really great beginner overview. Thanks a lot for putting it together. I'm looking forward to part 2.
He got a whole playlist ( 16 episodes ), this one is the 3rd one, you can check it out if you haven't
Thanks a lot Greg Kamradt for this video, It made me understand very clearly LangChain's coponents.
Wow. The power and possibilities are endless! I hooked already.
Thank you for the guide cookbook! 谢谢你精彩的cookbook！
Awesome! Glad it worked
Awesome introduction about LangChain, great job!
Beautiful summary! Thanks a lot for sharing it. I'll definitely check out all the documentation but you gave us a very good overview. Thanks for the ramp up!
Nice glad to hear it
One of the best and concise summary on the core concepts of LangChain. I highly recommend it. Thank you.
It has become very difficult to keep up with the ML/DL/AI scene as of lately, so I decided to go with Lang ⛓️, and your video has been the best I've seen so far. Thank you for your effort.
Brilliant! Would love to see you do one on building a personal assistent with LangChain!
I've watched 4 of your videos now, and the "set" and video quality have incrementally improved. I appreciate you putting in the effort to make your videos better. I look forward to watching and learning from your future videos!
Amazing and great explanation, Ill try out the cookbook in Git. Thank you
Thank you for this video! You did an amazing job, learning from which we will also do amazing jobs!
Excellent tutorial, thanks for sharing
Thank you for this concise and understandable introduction of the concepts!
Glad it was helpful!
thanks greg, this was very very easy to understand and insightful
Great overview Greg! Really enjoyed the examples and the way you broke down the concepts.
Nice!! Thanks man
Kudos to you reffort on doing this. Very helpful. Thank you
Too relaxing to learn with you!! The way you communicate is very nice and clear, thank you
Thanks for the kind comments!
This is awesome !!! Please keep up ! All my support
I have started using Langchain. The video is what I need. Thank you.
Thanks again, Greg! This video on LangChain concepts was really helpful after watching your LangChain intro. Learning about schemas, models, prompts, etc. is giving me a much better understanding of how LangChain works. Onward to the next video in your playlist!
Excellent video, and thank you for sharing your wisdom from your perspective, really appreciate it.
Glad it was helpful!
Greg, thanks for so generously sharing your knowledge! I like the new navy paint on the walls in your room. 👍🏻
Thank you! it was time for an upgrade
Literally amazed at how easily you went through such complex concepts.
Nice and inspiring examples, good job!
Thank you so much for this tutorial
That was a brilliant video. So well described with logical, easily understood examples. Thank you!
Glad it was helpful!
All of a sudden, I liked this course. Great content.
Yesterday I finally had a breakthrough and am beginning to understand the things that I see and read. I just hope that I don't have to use API keys as I want EVERYTHING local until I want to access the 'net for more information. I am building a fairly comprehensive application that not only will order groceries but will also perform local actions. What a time to be alive.
Thank you for your work Greg! Regards from Belgium :)
Great presentation
Thanks, this really helped a lot to briefly get an idea what Langchain can do👍
Insanely high quality video. Thanks so much!
Glad you enjoyed it!
Thank you, I learned so much reading your Cookbook.
Oh heck ya! This is my 2nd tip ever. Love it.
Reach out if you have any questions
I'm just a product manager who knows only a little bit about writing codes, but this video made it really easy to understand the high level concept and get the hang of lang chain.
Big shoutout from Japan🍣
Well crafted overview with concrete examples. I'm very experienced in the field, and this taught me quite a bit.
Great thank you George.
What’re you working on or building?
Your way of explaining is just flawless. Really helpful material, provided in a perfect manner. Congrats!
Nice! Thank you and glad to hear it
This is really helpful. With the order that those concepts are introduced with the great examples, I found everything in the langchain documentation become much easier to follow now. I now know what to look at for each of the ideas I have. Thank you!
Nice! glad to hear it.
This is super high-quality content. Well done man!
Glad you enjoy it!
Fantastic presentation! This is incredibly useful. Thank you!
Awesome! Thank you
Thanks a lot for making this! I love that you just went through the notebook, giving us clear and concise overviews of each step.
Wow this is so cool! Love the tip, I hardly get them.
Thank you!
Thank you Greg. The video was explained very well
Glad it was helpful!
Great tutorial! Thanks!
Awesome thank you! What’re you building or working on right now?
Dude. Epic💪🏾💪🏾💪🏾💪🏾💪🏾
👏🏾thanks for this Masterclass!
great presentation
Useful contributions. Thanks your helping the community, Bro!
Nice! Thanks Tim
Spectacular video. Thank you.
Glad you enjoyed it!
Thank you very much
Amazing, thank you
You aced the topic man!. Thanks.
You are a great teacher!
Thank you very much! This is super helpful for a Langchain Beginner LOL. Looking forward to your use cases!
Thanks Heqing - Working on it
I had zero knowledge about it and was struggle to understand it. now I have fairly good idea that Langchain is and what it can do with. thanks a lot.
Thanks for sharing this amazing content with us!
You bet! Glad you liked it
Thank your for this video!
Great run through. Very helpful!
Glad to hear it!
This is indeed a Cookbook, very good job, eagerly waiting for the use cases video, thank you!
Glad you liked it!
Very nice intro, thank you Greg. A good starting point to dig in deeper. Now looking forward to the second part with some use cases and then stop watching videos and get the hands on it. But rest assured, I will sure come back for more videos later. Love your work, please keep it going. Greetings and be well, sir.
I love the support! Thank you Markus
Great video! Thank you! 👏👏👏
High level/big picture explanations like this are very useful to some of us. Thank you
Nice! Glad it worked out
Great coverage and explanation of Langchain Greg. Thanks for this!
Awesome thank you! What’re you building?
I am amazed at how well you explained these concepts 🤯Keen to read your newsletters!
Love it! Thank you!
Super helpful overview! Thanks
Glad it was helpful!
Finally found the clear and intuitive lecture on how to smart use of LLMs by langchain and other search tools. Thank you so much.
Nice! Thank you
Fantastic tutorial. One of the best I found. Great job! Subscribed
Nice! Thank you
Thoroughly enjoyed this! Thank You so much :)
Loving the new look bro! Great upgrade and as usual great conent
Nice! Thank you very much. It was time to take AI more seriously.
I'm about to rebrand data indy to my personal brand as well.
Excellent instruction! You've made what could be a complex topic, very simple. Hope you can do a video on embedding and the various use cases. Thank you for the excellent presentation in this video.
Awesome thank you!
For embeddings, what is the real world use case you want to explore more?
This is a really concise & cool tutorial to start with langchain! Thank you.
Glad it was helpful!
Best video I followed all way long. Thanks Greg. This is Quality content!
Glad you enjoyed it! What're you building
highly appreciate your work 💖
Awesome thank you
Great to revisit
Thank you
Great job!
Fantastic video. I learned a ton in 60 minutes, by watching this video
Looking forward to watch the rest as well
Nice! Glad to hear it Prasanna!
Thank you for this really helpful tutorial! It has helped me discover many things to which I was previously unaware of. No more doing things in an amateur way haha!😄
Nice! This notebook needs updating forsure
Great and simple
Super helpful, thank you!
Nice!! Glad to hear it - what’re you building?
Super interesting and thorough - thanks!
Nice! Thank you
Great Job!!!
awesome video. the concepts are explained clearly!
Love it thank you Vers.
Thank you so much for making this so easy to follow and understand. As someone who has been out of the coding game for 15 years, I really struggled with some of the content from others where the assumed knowledge and terminology is so much higher. Keep up the good work :)
Awesome! Thank you very much - what projects are you working on building?
@@DataIndependent An app that helps users draft a specific type form of words. I'd like to use an agent that will follow a general process to gather information, then evaluate whether it has enough to draft the text against specific criteria, and ask for more if not. Once it thinks it has enough, it will draft the form of words. Evaluation seems tricky though!
Thank you for this, just what I needed.
Glad it was helpful!
Thank you. This was very helpful.
Wonderful
this video is pure gold, thank you
Glad you enjoyed it!
thanks for the content brow it helps a lot
Thanks brow
I’m amazed how dense and well indexed this video and document is
Nice! Thank you
Thank you! Very helpful
Awesome - glad it helped David. What’re you building?
I’m building labor & employment law bots for use by HR departments. I’m a litigation attorney that specialized in employment law.
Thanks for great overview. Even as a dev myself I find the docs are dooing a poor job of explaining what is for what and why. You did incredible job at this. Thanks!
great video! look forward to your other content on Langchain. Do you have any more video that disccus using multiple LLMs together or using huggingface transformers with Langchain?
This video is very helpful for me , THX
Nice! Glad to hear it